8.5.1 Multi-level, Multi-Scale Segmentation and Smoothing Methods

Chapter Contents (Back)
Smoothing. Multi-level Segmentation. Hierarchical Segmentation. Multi-Scale. Segmentation, Multi-Level. Pyramid Structure.
See also Smoothing Techniques, Adaptive Smoothing.

Ranade, S., and Shneier, M.O.,
Using Quadtrees to Smooth Images,
SMC(11), No. 5, May 1981, pp. 373-376. BibRef 8105

Gross, A.D.[Ari David], Rosenfeld, A.[Azriel],
Multiresolution Object Detection and Delineation,
CVGIP( 39), No. 1, July 1987, pp. 102-115.
Elsevier DOI (Strange title) Segmentation using interest operator at different levels to determine when to segment an area. Compact objects. BibRef 8707

Bongiovanni, G., Cinque, L., Levialdi, S., and Rosenfeld, A.,
Image Segmentation by a Multiresolution Approach,
PR(26), No. 12, December 1993, pp. 1845-1854.
Elsevier DOI Pyramid. Bimodal distributed image. BibRef 9312

Cinque, L., Levialdi, S., Rosenfeld, A.,
Fast Pyramidal Algorithms for Image Thresholding,
PR(28), No. 6, June 1995, pp. 901-906.
Elsevier DOI Segmentation, Thresholds. Parallel version of serial algorithms. BibRef 9506

Cantoni, V., Lombardi, L., Cinque, L., Levialdi, S., Guerra, C.,
Recognizing 2D Objects by a Multi-Resolution Approach,
ICPR94(C:310-316).
IEEE DOI BibRef 9400

Hong, T.H.[Tsai-Hong], Narayanan, K.A., Peleg, S.[Shmuel], Rosenfeld, A., Silberberg, T.M.[Teresa M.],
Image Smoothing and Segmentation by Multiresolution Pixel Linking: Further Experiments and Extensions,
SMC(12), No. 5, September/October 1982, pp. 611-622. This reports on more work on pixel linking (from BibRef 8209 UMD-TR 977, 989, 1025). The Eklundh and Rosenfeld paper is the primary reference. BibRef

Narayanan, K.A., Rosenfeld, A.,
Approximation of Waveforms and Contours by One-Dimensional Pyramid Linking,
PR(15), No. 5, 1982, pp. 389-396.
Elsevier DOI BibRef 8200

Silberberg, T.[Teresa], Peleg, S.[Shmuel], and Rosenfeld, A.,
Multi-Resolution Pixel Linking for Image Smoothing and Segmentation,
DARPA81(32-38). BibRef 8100

Eklundh, J.O., and Rosenfeld, A.,
Image Smoothing Based on Neighbor Linking,
PAMI(3), No. 6, November 1981 pp. 679-683. BibRef 8111

Eklundh, J.O., and Rosenfeld, A.,
Peak Detection Using Difference Operators,
PAMI(1), No. 3, July 1979, pp. 317-325. BibRef 7907

Pietikainen, M.[Matti], and Rosenfeld, A.[Azriel],
Image Segmentation by Texture Using Pyramid Node Linking,
SMC(11), No. 12, December 1981, pp. 822-825. This extends the pyramid linking method to using texture parameters for the linking decision.
See also Texture discrimination with multidimensional distributions of signed gray-level differences. BibRef 8112

Pietikainen, M.[Matti], and Rosenfeld, A.[Azriel],
Gray Level Pyramid Linking as an Aid in Texture Analysis,
SMC(12), 1982, pp. 422-429. BibRef 8200

Pietikainen, M.[Matti], Rosenfeld, A.[Azriel], and Davis, L.S.,
Experiments with Texture Classification Using Averages of Local Pattern Matches,
SMC(13), 1983, pp. 421-426. BibRef 8300

Pietikainen, M.[Matti],
Image Texture Analysis and Segmentation,
Acta Universiartis Ouluensis, Series C, Technica No. 21, Electornica No. 1. Univ. of OuluMarch 1982. Oulu, Finland. Evaluation, Texture. A comparative study and a look at Pyramid node linking from Pietikainen's texture work while at UMd. BibRef 8203

Burt, P.J.[Peter J.], Hong, T.H.[Tsai-Hong], and Rosenfeld, A.[Azriel],
Segmentation and Estimation of Image Region Properties Through Cooperative Hierarchical Computation,
SMC(11), No. 12, December 1981, pp. 802-809. This paper gives the primary definition of the linked pyramid method. Otherwise, little content. BibRef 8112

Pietikainen, M.[Matti], Rosenfeld, A.[Azriel], Walter, I.[Ingrid],
Split-and-Link Algorithms for Image Segmentation,
PR(15), No. 4, 1982, pp. 287-298.
Elsevier DOI An alternative to split and merge. The major difference is that the levels are overlapped so that each pixel can be the descendant of several (4) others. The linking is done to the one that looks most like yourself. This eliminates some of the problems in the initial splitting. BibRef 8200

Cibulskis, J.M., Dyer, C.R.,
An Analysis of Node Linking in Overlapped Pyramids,
SMC(14), 1984, pp. 424-436. BibRef 8400

Baronti, S.[Stefano], Casini, A.[Andrea], Lotti, F.[Franco], Favaro, L., and Roberto, V.,
Variable Pyramid Structures for Image Segmentation,
CVGIP(49), No. 3, March 1990, pp. 346-356.
Elsevier DOI Various modifications to the earlier linked pyramid algorithms. BibRef 9003

Baronti, S.[Stefano], Casini, A.[Andrea], Lotti, F.[Franco], Porcinai, S.[Simone],
Segmentation of multispectral images of works of art through principal component analysis,
CIAP97(I: 14-21).
Springer DOI 9709
BibRef

Grosky, W.I., and Jain, R.C.,
A Pyramid-Based Approach to Segmentation Applied to Region Matching,
PAMI(8), No. 5, September 1986, pp. 639-650. BibRef 8609

Jain, R., Grosky, W.I.,
Hyper-Pyramids for Integration of Spatial Information,
SRMSF87(72-81). BibRef 8700

Antonisse, H.J.,
Image Segmentation in Pyramids,
CGIP(19), No. 4, August 1982, pp. 367-383.
Elsevier DOI Linked Pyramids: reduce with overlap, link to parent when average is closest, recompute the averages using only those linked, reset links, etc. until no change (at all levels). Limited to 4 classes (top of pyramid). Various "fixes" produce similar results (holes, etc. cause problems). Unforced linking - not forced to link to a parent (form new regions at higher resolutions). Link at low tolerance and cluster the small regions. BibRef 8208

Lifshitz, L.M., and Pizer, S.M.,
A Multiresolution Hierarchical Approach to Image Segmentation Based on Intensity Extrema,
PAMI(12), No. 6, June 1990, pp. 529-540.
IEEE DOI Different smoothing levels, linked between levels, applied to medical image analysis. BibRef 9006

Morse, B.S.[Bryan S.], Pizer, S.M.[Stephen M.], Liu, A.[Alan],
Multiscale Medial Analysis Of Medical Images,
IVC(12), No. 6, July-August 1994, pp. 327-338.
Elsevier DOI BibRef 9407

Haring, S., Viergever, M.A., Kok, J.N.,
Kohonen Networks For Multiscale Image Segmentation,
IVC(12), No. 6, July-August 1994, pp. 339-344.
Elsevier DOI BibRef 9407

Liu, J.Q., Yang, Y.H.,
Multiresolution Color Image Segmentation,
PAMI(16), No. 7, July 1994, pp. 689-700.
IEEE DOI Segmentation, Color. Evaluation, Segmentation. Segmentation, Evaluation. Introduced an evaluation function for segmentation that rewards fewer regions, larger (i.e. similar sizes) regions, and uniform regions. SQRT(Regions)*Sum Over Regions of (difference from mean squared divided by SQRT(region size). Use neighborhoods. BibRef 9407

Chen, Y.S., Yen, H.T., Hsu, W.H.,
Compression of Color Image via the Technique of Surface Fitting,
GMIP(56), No. 3, May 1994, pp. 272-279. Compression, Color. Segmentation, Color. BibRef 9405
Earlier:
Color image coding by using the technique of surface fitting,
ICPR92(III:37-40).
IEEE DOI 9208
BibRef

Williams, L.C.[Leon C.],
Automatic image segmentation with smoothing,
US_Patent5,327,262, July 5, 1994.
WWW Link. BibRef 9407

Nacken, P.F.M.[Peter F.M.],
Image Segmentation by Connectivity Preserving Relinking in Hierarchical Graph Structures,
PR(28), No. 6, June 1995, pp. 907-920.
Elsevier DOI BibRef 9506

Bister, M., Cornelis, J., Rosenfeld, A.,
A Critical View of Pyramid Segmentation Algorithms,
PRL(11), 1990, pp. 605-617. BibRef 9000

Bajcsy, P.[Peter], Ahuja, N.[Narendra],
Location Based and Density Based Hierarchical Clustering Using Similarity Analysis,
PAMI(20), No. 9, September 1998, pp. 1011-1015.
IEEE DOI 9809
BibRef
Earlier:
Hierarchical Image Segmentation Using Similarity Analysis,
DARPA97(541-546). BibRef

Bajcsy, P.[Peter], Ahuja, N.[Narendra],
A New Framework for Hierarchical Segmentation Using Homogeneity Analysis,
ScaleSpace97(xx). 9702
BibRef

Brandtberg, T.[Tomas], Walter, F.[Fredrik],
Automated Delineation of Individual Tree Crowns in High Spatial Resolution Aerial Images by Multiple Scale Analysis,
MVA(11), No. 2, October 1998, pp. 64-73.
Springer DOI 9811
Segmentation of Tree Crowns. BibRef

Borgefors, G.[Gunilla], Brandtberg, T.[Tomas], Walter, F.[Fredrik],
Forest Parameter Extraction from Airborne Sensors,
ISPRSGIS99(151-158). Aerial color IR, Laser scanner, and SAR data. Process the SAR data, given some input from the others. BibRef 9900

Brandtberg, T.,
Structure-based Classification of Tree Species in High Spatial Resolution Aerial Images Using a Fuzzy Clustering Technique,
SCIA99(165-172). BibRef 9900

Rezaee, M.R., van der Zwet, P.M.J., Lelieveldt, B.P.F., van der Geest, R.J., Reiber, J.H.C.,
A Multiresolution Image Segmentation Technique Based on Pyramidal Segmentation and Fuzzy Clustering,
IP(9), No. 7, July 2000, pp. 1238-1248.
IEEE DOI 0006
BibRef

Guichard, F.[Frederic], and Morel, J.M.[Jean-Michel],
Image Iterative Smoothing and PDE's,
Online BookSeptember 2000.
HTML Version. BibRef 0009

Leite, N.J.[Neucimar J.], Guimarães, S.J.F.[Sílvio J. F.],
Morphological Residues and a General Framework for Image Filtering and Segmentation,
JASP(2001), No. 4, December 2001, pp. 219-229. 0201
BibRef

Teixeira, M.D.[Marta D.], Leite, N.J.[Neucimar J.],
Monoto nicity-preserving Operations and the Morphological Scale-Space Method for Image Segmentation,
ICIP99(27AP1). Not in proceedings. BibRef 9900

Polo, G.[Guilherme], Leite, N.J.[Neucimar J.],
From Extrema Relationships to Image Simplification Using Non-flat Structuring Functions,
ISMM13(377-389).
Springer DOI 1305
BibRef

Prewer, D.[David], Kitchen, L.[Les],
Soft image segmentation by weighted linked pyramid,
PRL(22), No. 2, February 2001, pp. 123-132.
Elsevier DOI 0101
BibRef

Cheng, H.[Hui], Bouman, C.A.,
Multiscale bayesian segmentation using a trainable context model,
IP(10), No. 4, April 2001, pp. 511-525.
IEEE DOI 0104
BibRef
Earlier:
Trainable context model for multiscale segmentation,
ICIP98(I: 610-614).
IEEE DOI 9810
BibRef

Petrovic, A., Escoda, O.D., Vandergheynst, P.,
Multiresolution Segmentation of Natural Images: From Linear to Nonlinear Scale-Space Representations,
IP(13), No. 8, August 2004, pp. 1104-1114.
IEEE DOI 0409
BibRef

de Andrade, M.C.[Marcos Carneiro],
An Interactive Algorithm for Image Smoothing and Segmentation,
ELCVIA(4), No. 1, October 2004, pp. xx-yy.
DOI Link 0410
BibRef

O'Callaghan, R.J., Bull, D.R.,
Combined Morphological-Spectral Unsupervised Image Segmentation,
IP(14), No. 1, January 2005, pp. 49-62.
IEEE DOI 0501
BibRef

Erikson, M.[Mats],
Two preprocessing techniques based on grey level and geometric thickness to improve segmentation results,
PRL(27), No. 3, February 2006, pp. 160-166.
Elsevier DOI 0512
BibRef

Gimenez, D.[David], Evans, A.N.[Adrian N.],
An evaluation of area morphology scale-spaces for colour images,
CVIU(110), No. 1, April 2008, pp. 32-42.
Elsevier DOI 0804
BibRef
Earlier:
Colour Morphological Scale-Spaces for Image Segmentation,
BMVC05(xx-yy).
HTML Version. 0509
Colour scale-spaces; Morphological sieves; Image segmentation BibRef

Evans, A.N.[Adrian N.], Gimenez, D.[David],
Extending connected operators to colour images,
ICIP08(2184-2187).
IEEE DOI 0810
BibRef

Ilea, D.E.[Dana Elena], Whelan, P.F.[Paul F.],
CTex: An Adaptive Unsupervised Segmentation Algorithm Based on Color-Texture Coherence,
IP(17), No. 10, October 2008, pp. 1926-1939.
IEEE DOI 0809
BibRef
Earlier:
Adaptive Pre-Filtering Techniques for Colour Image Analysis,
IMVIP07(150-157).
IEEE DOI 0709
Smooth before segmentation. BibRef

Ilea, D.E.[Dana E.], Whelan, P.F.[Paul F.],
Image segmentation based on the integration of colour-texture descriptors: A review,
PR(44), No. 10-11, October-November 2011, pp. 2479-2501.
Elsevier DOI 1101
Colour-texture integration; Image segmentation; Feature extraction; Databases; Evaluation measures BibRef

Wan, T.[Tao], Canagarajah, N.[Nishan], Achim, A.[Alin],
Segmentation-Driven Image Fusion Based on Alpha-Stable Modeling of Wavelet Coefficients,
MultMed(11), No. 4, June 2009, pp. 624-633.
IEEE DOI 0905
BibRef
Earlier:
Statistical Multiscale Image Segmentation via Alpha-Stable Modeling,
ICIP07(IV: 357-360).
IEEE DOI 0709
BibRef

Wan, T.[Tao], Qin, Z.C.[Zeng-Chang],
Statistical Multisensor Image Segmentation in Complex Wavelet Domains,
CIAP11(II: 60-68).
Springer DOI 1109
BibRef

Morigi, S.[Serena], Reichel, L.[Lothar], Sgallari, F.[Fiorella], Shyshkov, A.[Andriy],
Cascadic Multiresolution Methods For Image Deblurring,
SIIMS(1), No. 1, 2008, pp. 51-74.
DOI Link ill-posed problems; deblurring; multiresolution; regularizing iterative methods; edge-preserving operators BibRef 0800

Morigi, S.[Serena], Reichel, L.[Lothar], Sgallari, F.[Fiorella],
A General Framework for Nonlinear Regularized Krylov-Based Image Restoration,
CompIMAGE14(273-279).
Springer DOI 1407
BibRef
Earlier:
A Cascadic Alternating Krylov Subspace Image Restoration Method,
SSVM13(98-109).
Springer DOI 1305
BibRef
Earlier:
An Edge-Preserving Multilevel Method for Deblurring, Denoising, and Segmentation,
SSVM09(426-438).
Springer DOI 0906

See also Adaptive Norm Algorithm for Image Restoration, An. BibRef

Morigi, S.[Serena], Sgallari, F.[Fiorella],
An High Order Finite Co-volume Scheme for Denoising Using Radial Basis Functions,
SSVM07(43-54).
Springer DOI 0705
BibRef

Casciola, G., Montefusco, L.B., Morigi, S.[Serena],
Edge-driven Image Interpolation using Adaptive Anisotropic Radial Basis Functions,
JMIV(36), No. 2, February 2010, pp. xx-yy.
Springer DOI 1002
BibRef

Subakan, Ö.N.[Özlem N.], Vemuri, B.C.[Baba C.],
A Quaternion Framework for Color Image Smoothing and Segmentation,
IJCV(91), No. 3, February 2011, pp. 233-250.
WWW Link. 1102
BibRef
Earlier:
Quaternion-Based Color Image Smoothing Using a Spatially Varying Kernel,
EMMCVPR09(415-428).
Springer DOI 0908
BibRef
And:
Color Image Segmentation in a Quaternion Framework,
EMMCVPR09(401-414).
Springer DOI 0908
BibRef
Earlier:
Image segmentation via convolution of a level-set function with a Rigaut Kernel,
CVPR08(1-6).
IEEE DOI 0806
BibRef

Subakan, O.N.[Ozlem N.], Jian, B.[Bing], Vemuri, B.C.[Baba C.], Vallejos, C.E.[C. Eduardo],
Feature Preserving Image Smoothing Using a Continuous Mixture of Tensors,
ICCV07(1-6).
IEEE DOI 0710
BibRef

Duanggate, C.[Cattleya], Uyyanonvara, B.[Bunyarit], Makhanov, S.S.[Stanislav S.], Barman, S.[Sarah], Williamson, T.[Tom],
Object detection with feature stability over scale space,
JVCIR(22), No. 4, May 2011, pp. 345-352.
Elsevier DOI 1104
Scale-space theory; Scale-space tree; Object segmentation; Object detection; Feature stability; Feature vector; Blob's lifetime; Blob attributes BibRef

Johnson, B.[Brian], Xie, Z.X.[Zhi-Xiao],
Unsupervised image segmentation evaluation and refinement using a multi-scale approach,
PandRS(66), No. 4, July 2011, pp. 473-483.
Elsevier DOI 1107
Object-based image analysis; Multi-scale segmentation; Image segmentation evaluation; Under-segmentation; Over-segmentation BibRef

Cavalcante, A.[Andre], Barros, A.K.[Allan Kardec], Takeuchi, Y.[Yoshinori], Ohnishi, N.[Noboru],
Segmentation of Depth-of-Field Images Based on the Response of ICA Filters,
IEICE(E95-D), No. 4, April 2012, pp. 1170-1173.
WWW Link. 1204
BibRef

Zhang, X.L.[Xue-Liang], Xiao, P.F.[Peng-Feng], Song, X.Q.[Xiao-Qun], She, J.F.[Jiang-Feng],
Boundary-constrained multi-scale segmentation method for remote sensing images,
PandRS(78), No. 1, April 2013, pp. 15-25.
Elsevier DOI 1304
Remote sensing image segmentation; Boundary-constrained multi-scale segmentation; Region growing; Step-Wise Scale Parameter; Edge strength BibRef

Deng, J., Ban, Y., Liu, J., Li, L., Niu, X., Zou, B.,
Hierarchical Segmentation of Multitemporal RADARSAT-2 SAR Data Using Stationary Wavelet Transform and Algebraic Multigrid Method,
GeoRS(52), No. 7, July 2014, pp. 4353-4363.
IEEE DOI 1403
Accuracy BibRef

Wang, J.D.[Jing-Dong], Jiang, H.[Huaizu], Jia, Y.Q.[Yang-Qing], Hua, X.S.[Xian-Sheng], Zhang, C.S.[Chang-Shui], Quan, L.[Long],
Regularized Tree Partitioning and Its Application to Unsupervised Image Segmentation,
IP(23), No. 4, April 2014, pp. 1909-1922.
IEEE DOI 1404
image segmentation BibRef

Wang, J.D.[Jing-Dong], Jia, Y.Q.[Yang-Qing], Hua, X.S.[Xian-Sheng], Zhang, C.S.[Chang-Shui], Quan, L.[Long],
Normalized tree partitioning for image segmentation,
CVPR08(1-8).
IEEE DOI 0806
BibRef

Jia, Y.Q.[Yang-Qing], Wang, J.D.[Jing-Dong], Zhang, C.S.[Chang-Shui], Hua, X.S.[Xian-Sheng],
Augmented tree partitioning for interactive image segmentation,
ICIP08(2292-2295).
IEEE DOI 0810
BibRef

Yang, J.[Jian], Li, P.J.[Pei-Jun], He, Y.H.[Yu-Hong],
A multi-band approach to unsupervised scale parameter selection for multi-scale image segmentation,
PandRS(94), No. 1, 2014, pp. 13-24.
Elsevier DOI 1407
Object based image analysis BibRef

Akbas, E.[Emre], Ahuja, N.[Narendra],
Low-Level Hierarchical Multiscale Segmentation Statistics of Natural Images,
PAMI(36), No. 9, September 2014, pp. 1900-1906.
IEEE DOI 1408
BibRef
Earlier:
Low-Level Image Segmentation Based Scene Classification,
ICPR10(3623-3626).
IEEE DOI 1008
BibRef
Earlier:
From Ramp Discontinuities to Segmentation Tree,
ACCV09(I: 123-134).
Springer DOI 0909
Computational modeling BibRef

Chini, M.[Marco], Chiancone, A.[Alessandro], Stramondo, S.[Salvatore],
Scale Object Selection (SOS) through a hierarchical segmentation by a multi-spectral per-pixel classification,
PRL(49), No. 1, 2014, pp. 214-223.
Elsevier DOI 1410
Hierarchical segmentation BibRef

Yu, Y.L.[Yuan-Long], Gu, J., Wang, J.Z.[Jun-Zheng],
Bhattacharyya distance-based irregular pyramid method for image segmentation,
IET-CV(8), No. 6, 2014, pp. 510-522.
DOI Link 1502
image representation BibRef

Haque, S.M., Pai, G.P., Govindu, V.M.,
Symmetric Smoothing Filters From Global Consistency Constraints,
IP(24), No. 5, May 2015, pp. 1536-1548.
IEEE DOI 1504
Laplace transforms BibRef

Ming, D.P.[Dong-Ping], Li, J.[Jonathan], Wang, J.[Junyi], Zhang, M.[Min],
Scale parameter selection by spatial statistics for GeOBIA: Using mean-shift based multi-scale segmentation as an example,
PandRS(106), No. 1, 2015, pp. 28-41.
Elsevier DOI 1507
GEOBIA BibRef

Li, Y.F.[Ya-Feng], Feng, X.C.[Xiang-Chu],
A multiscale image segmentation method,
PR(52), No. 1, 2016, pp. 332-345.
Elsevier DOI 1601
Image segmentation BibRef

Song, H.W.[Hai-Wei], Wang, Y.[Yi],
A Spectral-Spatial Classification of Hyperspectral Images Based on the Algebraic Multigrid Method and Hierarchical Segmentation Algorithm,
RS(8), No. 4, 2016, pp. 296.
DOI Link 1604
BibRef

Wang, Y.[Yi], Zhang, Y.[Yan], Song, H.W.[Hai-Wei],
A Spectral-Texture Kernel-Based Classification Method for Hyperspectral Images,
RS(8), No. 11, 2016, pp. 919.
DOI Link 1612
BibRef

Wang, Y.[Yi], Duan, H.X.[He-Xiang],
Classification of Hyperspectral Images by SVM Using a Composite Kernel by Employing Spectral, Spatial and Hierarchical Structure Information,
RS(10), No. 3, 2018, pp. xx-yy.
DOI Link 1804
BibRef

Wang, Y.[Yi], Yu, W.[Wenke], Fang, Z.[Zhice],
Multiple Kernel-Based SVM Classification of Hyperspectral Images by Combining Spectral, Spatial, and Semantic Information,
RS(12), No. 1, 2020, pp. xx-yy.
DOI Link 2001
BibRef

Yang, T.H., Syu, J.H., Wang, S.J.,
Semantic segmentation based on iterative contraction and merging,
ICIP17(1282-1286)
IEEE DOI 1803
Computational modeling, Image color analysis, Image segmentation, Measurement, Merging, Semantics, Shape, Image Semantic Segmentation BibRef

Syu, J.H., Wang, S.J., Wang, L.C.,
Hierarchical Image Segmentation Based on Iterative Contraction and Merging,
IP(26), No. 5, May 2017, pp. 2246-2260.
IEEE DOI 1704
Algorithm design and analysis BibRef

Shen, L.[Li], Wu, L.[Linmei], Dai, Y.S.[Yan-Shuai], Qiao, W.[Wenfan], Wang, Y.[Ying],
Topic Modelling for Object-Based Unsupervised Classification of VHR Panchromatic Satellite Images Based on Multiscale Image Segmentation,
RS(9), No. 8, 2017, pp. xx-yy.
DOI Link 1708
BibRef

Shen, L.[Li], Wu, L.[Linmei], Li, Z.P.[Zhi-Peng],
Topic Modelling For Object-based Classification of VHR Satellite Images Based on Multiscale Segmentations,
ISPRS16(B7: 359-363).
DOI Link 1610
BibRef

Bellili, A.[Asma], Larabi, S.[Slimane],
An image analogy approach for multi-scale image segmentation,
IJCVR(8), No. 6, 2018, pp. 639-657.
DOI Link 1810
BibRef

Rasche, C.[Christoph],
Fleckmentation: rapid segmentation using repeated 2-means,
IET-IPR(13), No. 11, 19 September 2019, pp. 1940-1943.
DOI Link 1909
BibRef

Shen, Y.[Yu], Chen, J.Y.[Jian-Yu], Xiao, L.[Liang], Pan, D.[Delu],
Optimizing multiscale segmentation with local spectral heterogeneity measure for high resolution remote sensing images,
PandRS(157), 2019, pp. 13-25.
Elsevier DOI 1911
Image segmentation, Scale parameter optimization, High resolution (HR), Local spectral heterogeneity BibRef

Damiand, G.[Guillaume], Zara, F.[Florence],
Merge-and-simplify operation for compact combinatorial pyramid definition,
PRL(129), 2020, pp. 48-55.
Elsevier DOI 2001
Hierarchical image representation, Combinatorial pyramids, 2D combinatorial map BibRef

Guo, W.[Wei], Li, W.H.[Wei-Hong], Gong, W.G.[Wei-Guo], Cui, J.K.[Jin-Kai],
Extended Feature Pyramid Network with Adaptive Scale Training Strategy and Anchors for Object Detection in Aerial Images,
RS(12), No. 5, 2020, pp. xx-yy.
DOI Link 2003
BibRef

Xu, Q.S.[Qing-Song], Yuan, X.[Xin], Ouyang, C.J.[Chao-Jun], Zeng, Y.[Yue],
Attention-Based Pyramid Network for Segmentation and Classification of High-Resolution and Hyperspectral Remote Sensing Images,
RS(12), No. 21, 2020, pp. xx-yy.
DOI Link 2011
BibRef

Alvarez Padilla, F.J.[Francisco Javier], Romaniuk, B.[Barbara], Naegel, B.[Benoît], Servagi-Vernat, S.[Stephanie], Morland, D.[David], Papathanassiou, D.[Dimitri], Passat, N.[Nicolas],
Random walkers on morphological trees: A segmentation paradigm,
PRL(141), 2021, pp. 16-22.
Elsevier DOI 2101
Segmentation, Tree of shapes, Component-tree, Mathematical morphology, Region-based attributes, PET/CT, Multimodality BibRef

Zheng, Y., Yang, B., Sarem, M.,
Hierarchical Image Segmentation Based on Nonsymmetry and Anti-Packing Pattern Representation Model,
IP(30), 2021, pp. 2408-2421.
IEEE DOI 2102
Image segmentation, Image resolution, Visualization, Image color analysis, Visual perception, Distortion, segmentation consistency BibRef

Wang, K.[Ke], Chen, H.[Hainan], Cheng, L.G.[Li-Gang], Xiao, J.[Jian],
Variational-Scale Segmentation for Multispectral Remote-Sensing Images Using Spectral Indices,
RS(14), No. 2, 2022, pp. xx-yy.
DOI Link 2201
BibRef


Gao, J.X.[Jian-Xiong], Qian, X.[Xuelin], Wang, Y.K.[Yi-Kai], Xiao, T.J.[Tian-Jun], He, T.[Tong], Zhang, Z.[Zheng], Fu, Y.W.[Yan-Wei],
Coarse-to-Fine Amodal Segmentation with Shape Prior,
ICCV23(1262-1271)
IEEE DOI Code:
WWW Link. 2401
BibRef

Lapertot, R.[Raphael], Chierchia, G.[Giovanni], Perret, B.[Benjamin],
Supervised Learning of Hierarchical Image Segmentation,
CIARP23(I:201-213).
Springer DOI 2312
BibRef

Guo, S.H.[Shao-Hua], Liu, L.[Liang], Gan, Z.Y.[Zhen-Ye], Wang, Y.B.[Ya-Biao], Zhang, W.[Wuhao], Wang, C.J.[Cheng-Jie], Jiang, G.N.[Guan-Nan], Zhang, W.[Wei], Yi, R.[Ran], Ma, L.Z.[Li-Zhuang], Xu, K.[Ke],
ISDNet: Integrating Shallow and Deep Networks for Efficient Ultra-high Resolution Segmentation,
CVPR22(4351-4360)
IEEE DOI 2210
Image segmentation, Image resolution, Codes, Pipelines, Memory management, Robustness, Segmentation, Efficient learning and inferences BibRef

Zhao, H., Shi, J., Qi, X., Wang, X., Jia, J.,
Pyramid Scene Parsing Network,
CVPR17(6230-6239)
IEEE DOI 1711
Automobiles, Convolution, Feature extraction, Image segmentation, Neural networks, Semantics BibRef

Fehri, A.[Amin], Velasco-Forero, S.[Santiago], Meyer, F.[Fernand],
Prior-Based Hierarchical Segmentation Highlighting Structures of Interest,
ISMM17(146-158).
Springer DOI 1706
BibRef

Huynh, L.D.[Lê Duy], Xu, Y.C.[Yong-Chao], Géraud, T.[Thierry],
Morphological Hierarchical Image Decomposition Based on Laplacian 0-Crossings,
ISMM17(159-171).
Springer DOI 1706
Text in natural images. BibRef

Cheng, M.M.[Ming-Ming], Liu, Y.[Yun], Hou, Q.B.[Qi-Bin], Bian, J.W.[Jia-Wang], Torr, P.H.S.[Philip H.S.], Hu, S.M.[Shi-Min], Tu, Z.W.[Zhuo-Wen],
HFS: Hierarchical Feature Selection for Efficient Image Segmentation,
ECCV16(III: 867-882).
Springer DOI 1611
BibRef

Yeh, H.W.[Hao-Wei], Tseng, C.Y.[Chen-Yu], Wu, T.Y.[Tung-Yu], Wang, S.J.[Sheng-Jyh],
Unsupervised hierarchical image segmentation based on Bayesian sequential partitioning,
ICIP15(3783-3787)
IEEE DOI 1512
Hierarchical clustering; image segmentation; unsupervised learning BibRef

Chang, H.S.[Haw-Shiuan], Wang, Y.C.A.F.[Yu-Chi-Ang Frank],
Simple-to-Complex Discriminative Clustering for Hierarchical Image Segmentation,
ACCV14(III: 391-407).
Springer DOI 1504
BibRef

Li, Z.[Zhi], Zeng, T.Y.[Tie-Yong],
Color Image Segmentation by Minimal Surface Smoothing,
EMMCVPR15(321-334).
Springer DOI 1504
BibRef

Gao, H.Y.[Hong-Yun], Lam, K.M.[Kin-Man],
Salient-region detection in a multi-level framework of image smoothing with over-segmentation,
ICIP14(3297-3301)
IEEE DOI 1502
Computer vision BibRef

Saba, F., Valadan Zouj, M.J., Mokhtarzade, M.,
The Optimazation of Multi Resolution Segmentation of Remotely Sensed Data Using Genetic Alghorithm,
SMPR13(345-349).
DOI Link 1311
BibRef

Morales-González, A.[Annette], García-Reyes, E.[Edel], Sucar, L.E.[Luis Enrique],
Improving Image Segmentation for Boosting Image Annotation with Irregular Pyramids,
CIARP13(I:399-406).
Springer DOI 1311
BibRef

Suta, L.[Loreta], Scuturici, M.[Mihaela],
PaTHOS: Part-Based Tree Hierarchy for Object Segmentation,
CAIP13(393-400).
Springer DOI 1308
BibRef

Hegadi, R.S.[Ravindra S.], Pediredla, A.K.[Adithya Kumar], Seelamantula, C.S.[Chandra Sekhar],
Bilateral smoothing of gradient vector field and application to image segmentation,
ICIP12(317-320).
IEEE DOI 1302
BibRef

Guimarães, S.J.F.[Silvio Jamil F.], do Patrocínio, Jr., Z.K.G.[Zenilton Kleber G.], Kenmochi, Y.[Yukiko], Cousty, J.[Jean], Najman, L.[Laurent],
Hierarchical Image Segmentation Relying on a Likelihood Ratio Test,
CIAP15(II:25-35).
Springer DOI 1511
BibRef

Guimarães, S.J.F.[Silvio Jamil F.], Cousty, J.[Jean], Kenmochi, Y.[Yukiko], Najman, L.[Laurent],
A Hierarchical Image Segmentation Algorithm Based on an Observation Scale,
SSSPR12(116-125).
Springer DOI 1211
BibRef

Zhao, P.[Peng], Yang, L.[Lei], Zhang, H.H.[Hong-Hui], Quan, L.[Long],
Per-pixel translational symmetry detection, optimization, and segmentation,
CVPR12(526-533).
IEEE DOI 1208
BibRef

Shyr, A.[Alex], Darrell, T.J.[Trevor J.], Jordan, M.[Michael], Urtasun, R.[Raquel],
Supervised hierarchical Pitman-Yor process for natural scene segmentation,
CVPR11(2281-2288).
IEEE DOI 1106
BibRef

Zhou, H.B.[Hong-Bo], Cheng, Q.A.[Qi-Ang],
O(N) implicit subspace embedding for unsupervised multi-scale image segmentation,
CVPR11(2209-2215).
IEEE DOI 1106
BibRef

Browet, A.[Arnaud], Absil, P.A.[Pierre-Antoine], van Dooren, P.[Paul],
Community Detection for Hierarchical Image Segmentation,
IWCIA11(358-371).
Springer DOI 1105
BibRef

Mahmoodi, S.[Sasan], Gunn, S.R.[Steve R.],
Scale Space Smoothing, Image Feature Extraction and Bessel Filters,
SCIA11(625-634).
Springer DOI 1105
BibRef

Kobayashi, T.[Takumi], Otsu, N.[Nobuyuki],
One-class label propagation using local cone based similarity,
FG11(394-399).
IEEE DOI 1103
BibRef

Stojmenovic, M.[Milos], Kobayashi, T.[Takumi], Otsu, N.[Nobuyuki],
Pyramidal segmentation using higher-order local auto-correlations and its applications to Landsat forestry data,
ICIP10(3033-3036).
IEEE DOI 1009
BibRef

Letham, J.[Jonathan], Robertson, N.M.[Neil M.], Connor, B.[Barry],
Contextual smoothing of image segmentation,
UCVP10(7-12).
IEEE DOI 1006
BibRef

Chen, Y.[Yu],
A Lattice Boltzmann Method Based Medical Image Denoising and Enhancement,
CISP09(1-4).
IEEE DOI 0910
BibRef

Chen, Y.[Yu],
Lattice Boltzmann Method Based Medical Image Segmentation,
CISP09(1-5).
IEEE DOI 0910
BibRef

Jiang, J.Y.[Jia-Yan], Tu, Z.W.[Zhuo-Wen],
Efficient scale space auto-context for image segmentation and labeling,
CVPR09(1810-1817).
IEEE DOI 0906
BibRef

Chen, C.F.[Chi-Fan], Liang, C.H.[Chia-Hsin],
Spatial Filtering with Multi-scale Segmentation Based on Gaussian Function,
ISVC08(II: 802-812).
Springer DOI 0812
BibRef

An, J.H.[Jung-Ha], Chen, Y.M.[Yun-Mei],
Region Based Image Segmentation Using a Modified Mumford-Shah Algorithm,
SSVM07(733-742).
Springer DOI 0705
BibRef

Piovano, J.[Jérome], Papadopoulo, T.[Théodore],
Local Statistic Based Region Segmentation with Automatic Scale Selection,
ECCV08(II: 486-499).
Springer DOI 0810
BibRef

Piovano, J.[Jérome], Rousson, M.[Mikaël], Papadopoulo, T.[Théodore],
Efficient Segmentation of Piecewise Smooth Images,
SSVM07(709-720).
Springer DOI 0705
BibRef

Pruvot, J.H.[Jean-Hugues], Brun, L.[Luc],
Hierarchy Construction Schemes Within the Scale Set Framework,
GbRPR07(126-137).
Springer DOI 0706
BibRef

Fourey, S.[Sébastien], Brun, L.[Luc],
Efficient Encoding of n-D Combinatorial Pyramids,
ICPR10(1036-1039).
IEEE DOI 1008
BibRef
Earlier:
A First Step toward Combinatorial Pyramids in n-D Spaces,
GbRPR09(304-313).
Springer DOI 0905
BibRef

de Calignon, M.B.[Martin Braure], Brun, L.[Luc], Lachaud, J.O.[Jacques-Olivier],
Combinatorial Pyramids and Discrete Geometry for Energy-Minimizing Segmentation,
ISVC06(II: 306-315).
Springer DOI 0611
BibRef

Guo, W.H.[Wei-Hong], Chen, Y.M.[Yun-Mei],
Using Non-Parametric Kernel to Segment and Smooth Images Simultaneously,
ICIP06(217-220).
IEEE DOI 0610
BibRef

Wang, W.X.[Wei-Xing],
Colony Delineation on Image Classification,
ICPR06(III: 705-708).
IEEE DOI 0609
Hierarchical analysis for high resolution images. BibRef

Arora, H.[Himanshu], Loeff, N.[Nicolas], Forsyth, D.A.[David A.], Ahuja, N.[Narendra],
Unsupervised Segmentation of Objects using Efficient Learning,
CVPR07(1-7).
IEEE DOI 0706
BibRef

Arora, H.[Himanshu], Ahuja, N.[Narendra],
Analysis of Ramp Discontinuity Model for Multiscale Image Segmentation,
ICPR06(IV: 99-103).
IEEE DOI 0609
BibRef

Idir, K., Merouani, H., Tlili, Y.,
Image Segmentation Through Dual Pyramid of Agents,
CIAP05(360-366).
Springer DOI 0509
BibRef

Cour, T.[Timothee], Benezit, F.[Florence], Shi, J.B.[Jian-Bo],
Spectral Segmentation with Multiscale Graph Decomposition,
CVPR05(II: 1124-1131).
IEEE DOI 0507
all scales at once, not in order. BibRef

Gao, S.[Song], Bui, T.D.[Tien D.],
A Multistage Image Segmentation and Denoising Method: Based on the Mumford and Shah Variational Approach,
ICIAR04(I: 82-89).
Springer DOI 0409
BibRef

Junda, A., Chitsobhuk, O.,
Image segmentation based on hierarchical mapping,
ICIP04(I: 215-218).
IEEE DOI 0505
BibRef

Bak, E.,
Bayesian segmentation supported by neighborhood configurations,
CRV04(36-42).
IEEE DOI 0408
BibRef

Jackson, J.D.[Jeremy D.], Yezzi, Jr., A.J.[Anthony J.], Wallace, W.[Wes], Bear, M.F.[Mark F.],
Segmentation of Coarse and Fine Scale Features Using Multi-scale Diffusion and Mumford-Shah,
ScaleSpace03(615-624).
Springer DOI 0310
BibRef

Ivekovic, S.[Spela], Leonardis, A.[Ales],
Multiresolution Approach to Biomedical Image Segmentation with Statistical Models of Appearance,
ScaleSpace03(667-682).
Springer DOI 0310
BibRef

Kukieka, G.[Grzegorz], Woznicki, J.[Jerzy],
Hierarchical Method of Digital Image Segmentation Using Multidimensional Mathematical Morphology,
CAIP01(581 ff.).
Springer DOI 0210
BibRef

Kuijper, A.[Arjan], Florack, L.M.J.[Luc M.J.],
Hierarchical Pre-Segmentation without Prior Knowledge,
ICCV01(II: 487-493).
IEEE DOI 0106
Scale Space. Segmentation in scale space. BibRef

Barata, T., Pina, P., Granado, I.,
Segmenting at Higher Scales to Classify at Lower Scales: A Mathematical Morphology Based Methodology Applied to Forest Cover Remote Sensing Images,
ICPR00(Vol IV: 84-87).
IEEE DOI 0009
BibRef

Sharon, E.[Eitan], Brandt, A.[Achi], Basri, R.[Ronen],
Fast Multiscale Image Segmentation,
CVPR00(I: 70-77).
IEEE DOI 0005
BibRef

Ohkura, K., Ugurlu, Y., Nishizawa, H., Obi, T., Hasegawa, A., Yamaguchi, M., Ohyama, N.,
Hierarchical Image Segmentation Using Adaptive Pattern Sizes,
ICIP99(III:212-216).
IEEE DOI BibRef 9900

Lim, D.K.[Dong-Keun], Ho, Y.S.[Yo-Sung],
Image Segmentation Using on Hierachical Meshes,
ICIP99(I:6-10).
IEEE DOI BibRef 9900

Bangham, J.A., Hidalgo, J.R., Harvey, R.W., Cawley, G.C.,
The Segmentation of Images via Scale-space Trees,
BMVC98(xx-yy). BibRef 9800

Harvey, R.W.[Richard W.], Bosson, A.[Alison], Bangham, J.A.[J. Andrew],
The robustness of some scale-spaces,
BMVC97(xx-yy).
HTML Version. 0209
BibRef

Ziliani, F., Jensen, B.,
Unsupervised image segmentation using the modified pyramidal linking approach,
ICIP98(III: 303-307).
IEEE DOI 9810
BibRef

Seetharaman, G., Zavidovique, B., Shivayogimath, S.,
Z-trees: adaptive pyramid-algorithms for image segmentation,
ICIP98(III: 294-298).
IEEE DOI 9810
BibRef

Marques, F., Vera, V., Gasull, A.,
Recursive Image Sequence Segmentation by Hierarchical Models,
ICPR94(A:523-525).
IEEE DOI BibRef 9400

Schulze, M.A., Pearce, J.A.,
A morphology-based filter structure for edge-enhancing smoothing,
ICIP94(II: 530-534).
IEEE DOI 9411
BibRef

Karczewicz, M., Gabbouj, M., Astola, J.T.,
Robust B-spline image smoothing,
ICIP94(II: 540-544).
IEEE DOI 9411
BibRef

Chapter on 2-D Region Segmentation Techniques, Snakes, Active Contours continues in
Techniques for Model Guided Segmentation, Context in Segmentation .


Last update:Mar 16, 2024 at 20:36:19